Timeline for $X_i, X_j$ independent when $i≠j$, but $X_1, X_2, X_3$ dependent?
Current License: CC BY-SA 4.0
6 events
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| Nov 10, 2018 at 16:31 | history | edited | Dilip Sarwate | CC BY-SA 4.0 |
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| May 1, 2017 at 5:31 | comment | added | Elle Najt | Incredible and clear example with the normal distributions, thanks for sharing! It has a very intuitive geometric picture as well - for me it was easy to imagine why this example worked by observing how lines parallel to the coordinate axis hit the support of the mass function. I think it also suggests how to construct similar examples for n normal random variables, with (n-1)-wise independence, but not full independence ... though its not clear to me what Boolean logical formula to use to pick the support. Any suggestions? | |
| Nov 9, 2015 at 22:30 | history | edited | Dilip Sarwate | CC BY-SA 3.0 |
added example of pairwise independent normals not being mutually independent
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| Nov 9, 2015 at 14:35 | history | edited | Dilip Sarwate | CC BY-SA 3.0 |
added 1199 characters in body
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| Nov 8, 2015 at 13:32 | review | Low quality posts | |||
| Nov 8, 2015 at 14:29 | |||||
| Nov 8, 2015 at 13:16 | history | answered | Dilip Sarwate | CC BY-SA 3.0 |